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说明：  图像分割指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程，它是由图像处理到图像分析的关键步骤。小麦的图像分割是使用各种图像分割算法对小麦图像进行处理和研究，提取出有用的图像信息以实现小麦粘连籽粒的分离，为进一步利用图像处理技术分析小麦品质提供依据。因此，对小麦图像分割方法的研究具有十分重要的意义。 本文首先研究了图像分割算法的分类以及常用图像分割算法的基本原理。然后针对小麦图像的特点，研究了在不同光照、背景和连接情况下使用的小麦图像分割方法，对各种分割算法进行了比较、结合和改进。重点研究了基于小波变换的分水岭算法和阈值分割算法在小麦图像分割中的应用，并借助MATLAB工具软件对选定图像进行处理，实现了对小麦粘连籽粒的分离。最后本文对图像分割技术进行了展望。 本论文的研究对于图像分割技术在小麦品质中的应用具有一定的参考价值。 (Image segmentation is a technology and process that divide image into different character area, which is interesting us. It is a key step from image processing to image analyzing. The wheat image segmentation is a way using many algorithms does some research and processing, and it also can realize the separation of wheat adhesion and realize the extraction of useful image information. So it can lay the foundation for using image processing technologies to analysis the quality of the wheat. there is a very important meaning for the research of the image segmentation method. This paper studies the class and the principle of segmentation algorithm in common use firstly, then, studies the wheat image segment algorithm with different illumination background. It contrasts kinds of algorithms, and improved them. This paper is based on wavelet transform, and combines with the watershed algorithm and the threshold segmentation method. Using the MATLAB software, does some process on the wheat i)

一种鱼眼镜头校正算法的MATLAB实现，附论文及源代码(A MATLAB implementation of fisheye lens correction algorithm)

利用DCT字典对图形进行稀疏表示，实现两幅图像的融合(Using the DCT dictionary to sparse representation of the graphics to achieve the fusion of two images)

matalabd编写的模式识别和聚类源文件，实现了常用大部分聚类方法(prepared matalabd Pattern Recognition and Clustering)

有关目标的匹配跟踪代码，简单易懂，里面含有丰富的测试图片，和最终的测试效果图(The target matching tracking code, easy to understand, which contains a wealth of test images, and the final test renderings)

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

于轻小型光学成像系统，小孔径限制了 图像的极限分辨率，衍射退化造成了截止频率外信息的丢失成像系统所期望的 大视场不可避免的带来边缘视场的像差恶化，各视场退化情况不同，影响信息的 判读 (Small light optical imaging system, the small aperture limit the ultimate resolution of the image, diffraction degradation aberration deterioration of the desired cutoff frequency outside the loss of information imaging system field of view inevitably bring the edge of the visual field, each referred to as field degradation, affecting the interpretation of the information)

基于最大熵的图像分割阈值处理程序（单阈值）(Based on Maximum Entropy Image Segmentation threshold process (single-threshold))

提出了一种基于非下采样Contourlet 变换的自适应图像去噪方法 首先对噪声图像进行非下采样Contourlet 变换，得到各 个尺度各个方向子带的系数，再根据该系数的能量自适应地调整去噪阈值 实验表明，与Contourlet 多尺度阈值去噪 Contourlet 自 适应阈值去噪相比，该方法在保留图像边缘细节的同时，能提高图像的PSNR 值，减少了Gibbs 现象(A new adaptive method of image de-noising based on NonSubsampled Contourlet Transform （NSCT）is presented.Firstly， the noisy image is decomposed into a set of multiscale and multidirectional frequency subbands by NSCT， and then the threshold is adapted automatically according to the energy of subband coefficients.Compared with the multi-scale threshold using contourlet transform and using adaptive threshold based on contourlet transform， the simulation results show that the performance of this method is superior in PSNR， meanwhile it can maintain the image edge and reduce the Gibbs phenomen)

基于大气模型进行图像的去雾处理，以及均衡化的去雾处理(mage removal based on atmospheric model)